投稿時間:2021-12-31 17:19:32 RSSフィード2021-12-31 17:00 分まとめ(26件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
python	Pythonタグが付けられた新着投稿 - Qiita	【matplotlib】3次元ヒートマップを作る方法	https://qiita.com/yusuke_s_yusuke/items/fb2752cb627d4cb798aa	【matplotlib】次元ヒートマップを作る方法概要matplotlibで次元ヒートマップを作る方法を紹介します。	2021-12-31 16:38:02
python	Pythonタグが付けられた新着投稿 - Qiita	軽石漂流シミュレーションのcsvファイルを読む	https://qiita.com/tmiyama/items/44b621d319f3fdfed7ca	データをPandasで読む粒子計算はJAXAが人工衛星で軽石を発見したところから計算を始めているので、軽石が発見された日付からスタートした粒子毎ファイルになっている。	2021-12-31 16:27:20
js	JavaScriptタグが付けられた新着投稿 - Qiita	Firebase JavaScript SDK v8 → v9	https://qiita.com/showch300/items/1c8b927735a76d089388	FirebaseJavaScriptSDKv→vこの記事は久しぶりにfirebaseを触ってみたらJavaScriptSDKのバージョンがになっていて、使い方がだいぶ変わっていたので個人の備忘を兼ねて使い方を纏めたものです。	2021-12-31 16:17:39
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	boto3を使ってS3にmp4を保存したい	https://teratail.com/questions/376201?rss=all	botoを使ってSにmpを保存したいfastapibotoを使ってmp動画をsに保存したいです。	2021-12-31 16:55:38
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	【djangoのChoiceField】選択肢の「DB値」ではなく「ラベル」で定義した値を表示したい	https://teratail.com/questions/376200?rss=all	Post先の画面でChoiceFieldのchoicesに設定したラベルを表示したいです。	2021-12-31 16:47:19
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Monaca JavaScript の「Script error.」が解決できない	https://teratail.com/questions/376199?rss=all	MonacaJavaScriptの「Scripterror」が解決できない前提・実現したいことMonacaでTesseractjsを使用したアプリを作っているのですが、画像をアップロードしたところでエラーが出てきました。	2021-12-31 16:43:33
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	wordpressでログイン、パスワードの設定もできず	https://teratail.com/questions/376198?rss=all	wordpressでログイン、パスワードの設定もできず題名の通りなのですが、インストール直後のnbspwordpressnbspログイン画面にてログインすることができず、またパスワードの再設定もできません。	2021-12-31 16:36:38
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Machine Learning Course in Pune	https://teratail.com/questions/376197?rss=all		2021-12-31 16:18:19
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	整数の値の秒とミリ秒を計算して浮動小数で秒を算出したい。計算が正しいかどうか知りたい。	https://teratail.com/questions/376196?rss=all	floatnbspdiffnbsp	2021-12-31 16:08:36
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	処理を高速化するため、内包表記の仕方を教えていただきたいです。	https://teratail.com/questions/376195?rss=all	処理を高速化するため、内包表記の仕方を教えていただきたいです。	2021-12-31 16:03:57
Ruby	Rubyタグが付けられた新着投稿 - Qiita	マイグレーションにおけるchangeとup/downの違い	https://qiita.com/30305829kasukabe/items/64a74e82aa841113a694	マイグレーションにおけるchangeとupdownの違いupdownについてupとdownメソッドは、migrateを実行した時の処理と、rollbackした時の処理を定義しますupで変更したものは、downで元に戻るようにしておかないと、正しくrollbackできませんclassAddNameToTitlesltActiveRecordMigrationdefupmigrateを実行した時の処理addcolumntitlenamestringenddefdownrollbackした時の処理removecolumntitlenameendendchangeについてchangeメソッドは、migrateを実行した時の処理を定義しますupdownと違うところは、rollback時の処理を勝手に反転して実行してくれるところですですので、changeメソッドはrollback時の処理を書く必要はありませんclassAddNameToTitlesltActiveRecordMigrationdefchangeaddcolumntitlenamestringendendこれで、先ほどのupdownで挙げた例と同じ挙動になりますrollback時はaddcolumnを反転させて勝手にremovecolumnが実行されますじゃあ全部changeでいいじゃんと思いきや、changeだけでは成り立たないケースもあります。	2021-12-31 16:37:10
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS日記34 (Amazon Braket)	https://qiita.com/tanaka_takurou/items/dc30562ed8506b9afcc5	デバイス量子コンピュータの説明の確認AmazonBraketgtDevicesでは利用可能なデバイスの一覧が表示されます。	2021-12-31 16:25:14
AWS	AWSタグが付けられた新着投稿 - Qiita	【SAP-C01試験対策】AWS Diretory Serviceのまとめ	https://qiita.com/jellyk405/items/7107a42a8a893c8648a1	試験対策設問①SAML対応のアプリケーションを構築したい。	2021-12-31 16:12:29
Ruby	Railsタグが付けられた新着投稿 - Qiita	マイグレーションにおけるchangeとup/downの違い	https://qiita.com/30305829kasukabe/items/64a74e82aa841113a694	マイグレーションにおけるchangeとupdownの違いupdownについてupとdownメソッドは、migrateを実行した時の処理と、rollbackした時の処理を定義しますupで変更したものは、downで元に戻るようにしておかないと、正しくrollbackできませんclassAddNameToTitlesltActiveRecordMigrationdefupmigrateを実行した時の処理addcolumntitlenamestringenddefdownrollbackした時の処理removecolumntitlenameendendchangeについてchangeメソッドは、migrateを実行した時の処理を定義しますupdownと違うところは、rollback時の処理を勝手に反転して実行してくれるところですですので、changeメソッドはrollback時の処理を書く必要はありませんclassAddNameToTitlesltActiveRecordMigrationdefchangeaddcolumntitlenamestringendendこれで、先ほどのupdownで挙げた例と同じ挙動になりますrollback時はaddcolumnを反転させて勝手にremovecolumnが実行されますじゃあ全部changeでいいじゃんと思いきや、changeだけでは成り立たないケースもあります。	2021-12-31 16:37:10
海外TECH	DEV Community	Deep learning application in healthcare and wellness	https://dev.to/adamodigitalco/deep-learning-application-in-healthcare-and-wellness-2cim	Deep learning application in healthcare and wellnessDeep learning has been an increasingly popular research direction reforming modern performances such as object recognition images and machine translation In the world of savvy tech data driven machine health monitoring is more common owing to the widespread use of low cost sensors Deep learning provides useful tools for processing and analyzing data especially in the healthcare and medical fields This article gives you definitions benefits and applications of deep learning in healthcare such as computer vision natural language process etc In addition it discusses some new trends of DL based healthcare that might boom in the upcoming years Deep learning in healthcare Definition amp Examples What is deep learning in healthcare contexts Deep learning a subfield of machine learning has experienced a dramatic emergence in the past few years The increasing uses of computational power and the availability of massive databases have driven the demand for deep learning Healthcare and medical fields have witnessed striking advances in the ability to analyze data such as images language and speech The healthcare industry stands to benefit from deep learning due to data the increasing proliferation of medical devices and digital records Deep learning models will scale to large datasets and continue improving with more data This deep learning system can accept or read multiple data types as its input For example the most common deep learning models use supervised learning in which datasets are data points Thus many healthcare software development firms apply deep learning in healthcare to handle a large number of datasets Examples of deep learning in healthcare and medical aspects GenomicsAs an example of deep learning in healthcare aspects Genomics uses deep learning techniques to help patients undergoing treatment Professional clinical get an idea that might affect patient treatments in the future Genomics is a steadily growing aspect This deep learning technique supports clinical practice to give more accurate diagnoses Cell scopeCell scope is one of the most effective examples of deep learning in healthcare Thanks to deep learning in healthcare helping parents monitor the health conditions or health status of their kids People can see these deep learning techniques on any device reducing the visits of parents to hospitals Insurance fraudInsurance fraud is another example of deep learning in healthcare which is used for medical insurance claim fraud This deep learning technique is considered as predictive analysis which predicts possible fraud claims Besides deep learning also helps the insurance industry to send discounts or offers to target patients Medical imagingMedical imaging is another example of deep learning in healthcare with healthcare software development such as CT scan ECG MRI etc This technique helps define and diagnose diseases for patients such as heart attacks cancer brain tumor etc Thus deep learning in healthcare supports doctors to analyze patients diseases and give them useful advice Discovery drugDeep learning in healthcare helps to discover drugs and develop them Thanks to deep learning in healthcare we gain insights from patients tests and disease related symptoms Therefore discovering drugs is one of the examples of deep learning in healthcare Alzheimer s diseaseOne of the most crucial challenges people are facing is Alzheimer s disease especially the elders So deep learning in healthcare helps detect Alzheimer s disease at its initial phase making it convenient for doctors to treat Benefits of deep learning in the medical fieldTo define how deep learning can benefit people in healthcare and medical aspects let s look into the healthcare treatments So people apply deep learning in healthcare to assist professionals in the medical sciences and lab technicians Here are a few benefits of deep learning in healthcare that you might know Deep learning in healthcare can be a learning tool collecting data and recording information about patients their symptoms and treatments Doctors or professionals in the medical field can use this information as a future preference for the patients treatments Deep learning in healthcare allows you to create a model based on data sources available when you require a risk score on administration Furthermore healthcare software development firms apply deep learning techniques in healthcare to provide accurate and timely risk scores That boosts confidence and appropriately allocates the resources When using deep learning in healthcare people can reduce costs and get improved outcomes For example electronic health records EHR and digital healthcare applications can make data more accessible to trained algorithms than ever Thanks to deep learning in healthcare health staff give more accurate and faster diagnostics during patient treatments Doctors can identify patterns by connecting custom healthcare software For instance deep learning in healthcare can determine whether the skin lesions are cancerous or not like any certificated dermatologists Top applications of deep learning in healthcare Computer vision One of the largest successes of deep learning in healthcareComputer vision emphasizes images and videos and handles tasks such as object classification segmentation and detection This deep learning technique is useful in determining whether patients radiograph contains malignant tumors Medical imaging for example can benefit from advances in object classification and image detection Many studies have proved the results in complicated diagnostics spanning dermatology radiology and pathology Furthermore deep learning in healthcare could support physicians by giving second opinions and providing concerning areas in images Remarkably the models of deep learning in healthcare have obtained physician level accuracy at a variety of diagnostic tasks Thanks to the custom healthcare software people can identify moles from melanomas diabetic retinopathy cardiovascular risk and spinal analysis with magnetic resonance imaging Natural language processingNatural language processing is one of the top applications of deep learning in healthcare This application of deep learning in the medical field focuses on analyzing text and speech to infer meaning from words When developing custom healthcare software software engineers use deep learning algorithms to process inputs such as language speech and time series data Significant successes of natural language processing include machine translation image captioning and text creation In terms of the healthcare industry sequential deep learning and healthcare languages benefit electronic health records EHR For example a hospital typically generates about pieces of data With such a huge amount of data the applications of deep learning in healthcare can solve many problems Reinforcement learningAs one of the most successful applications of deep learning in healthcare reinforcement learning is a technique to train computational agents This reinforcement learning can happen through trial and error demonstration or a hybrid method Healthcare software development firms use reinforcement learning in which health fields accomplish better goals through learning expert demonstration People can learn to predict the expert s actions through imitation or by inferring the experts objectives Another healthcare domain that can benefit from deep reinforcement learning is robotic assisted surgery RAS Deep learning can promote the robustness of RAS by using computer vision models to adapt to surgical environments and learn from physical motions Generalized deep learningBeyond computer vision natural language processing etc generalized deep learning is adaptable to healthcare domains where data requires customized processes More specifically modern genomic technologies collect various measurements of proteins in their blood Thus deep learning in healthcare can use these data to analyze these measures so it helps to provide more accurate treatments and diagnosis Moreover deep learning can further boost additional modalities such as medical images and wearable device data Future of deep learning A ray of hope for medical and health fieldsThe future of deep learning in healthcare has never been more promising Artificial Intelligence and Machine Learning not only bring such a precious opportunity to develop custom healthcare software meeting specific needs Moreover deep learning in healthcare is beneficial for supporting clinical and patient care High dimensional bio medical information remains a challenging issue in shaping the healthcare industry Different types of data are rising in the world of medical sciences such as images sensor text sensor data etc Healthcare software development firms use deep learning algorithms to solve this problem Deep learning in healthcare makes unstructured data more successful representations The latest application of deep learning in healthcare provides efficient paradigms to get the end to end learning models for complex data The use of electronic health records EHR helps advance clinical research and better decisions made during patient treatments This custom healthcare software prevents the practice of learning models by synthesizing and demonstrating the data Deep learning in healthcare can support and even affect decision making processes in the clinical environment Deep learning is a set of many computational methods allowing an algorithm to demonstrate desired outcomes The massive applications of deep learning in healthcare have brought many opportunities for the future of deep learning For example there is a further assessment and validation of medical images Healthcare software development services have used deep learning to train algorithms with feasible outcomes and measures The algorithms in detecting reference diabetic retinopathy RDRs can be moderate So the deep learning in healthcare trained algorithms evaluates two operating points selected from high specificity and high sensitivity That leads to better results Thus the future of deep learning in healthcare can be a ray of hope for the medical and healthcare industry Al and deep learning in healthcare New trends of deep learning based healthcareArtificial Intelligence and deep learning in healthcare have boosted the healthcare and medical industry with emerging trends The deep learning algorithm is convolutional networks It helps analyze medical images medical classification segmentation and other tasks People use deep learning in healthcare areas such as retinal digital pathology and neural Healthcare software development services see deep learning as an emerging trend in the field of data analysis These deep learning algorithms have been named one of the breakthrough technological applications in Another trend of deep learning in healthcare that you might know is its application in healthcare predictions People usually use deep learning algorithms in custom healthcare software to improve clinical predictions Therefore deep learning is an essential machine learning tool in imaging neural networks computer vision etc Health informatics is also an emerging trend of deep learning in healthcare Thanks to the applications of deep learning in healthcare professional clinical doctors make predictions of disease to provide personalized services Biomedical data in the healthcare industry has obtained knowledge from many applications of deep learning in healthcare based on techniques The healthcare field nowadays has various strategies which benefit individuals and societies owing to their spectrums We have experienced advancements in Machine Learning and Artificial Intelligence in numerous fields so does deep learning in healthcare Thus deep learning in healthcare has emerged in recent years A large number of data sets from clinical management systems feature the demand for healthcare services This provides an opportunity for the application of deep learning in healthcare ClosingDeep learning is an element of machine learning based on data learning methodologies People use deep learning in healthcare such as recognizing speech computer vision natural language processing etc That has led to changes in the healthcare and medical fields Besides it helps boost the development of the healthcare industry Healthcare software development services use deep learning algorithms to help doctors give more accurate diagnoses	2021-12-31 07:10:05
海外ニュース	Japan Times latest articles	Mizuho hit by system failure despite pledge to improve operations	https://www.japantimes.co.jp/news/2021/12/31/business/corporate-business/mizuho-bank-errors/	Mizuho hit by system failure despite pledge to improve operationsThe trouble occurred despite the bank having pledged to prevent similar failures after financial authorities ordered it to improve operations in November	2021-12-31 16:07:51
海外ニュース	Japan Times latest articles	Manga piracy sites remain rampant in Japan	https://www.japantimes.co.jp/news/2021/12/31/national/crime-legal/manga-piracy-sites/	manga	2021-12-31 16:00:35
海外ニュース	Japan Times latest articles	Nana Takagi and Seitaro Ichinohe book Olympic speedskating spots at 1,500 meters	https://www.japantimes.co.jp/sports/2021/12/31/olympics/winter-olympics/olympics-speedskating/speed-skating-trials-beijing-games/	Nana Takagi and Seitaro Ichinohe book Olympic speedskating spots at metersTakagi clocked minute seconds to finish second in the event won by her younger sister Miho in at the M Wave ice arena	2021-12-31 16:35:11
海外ニュース	Japan Times latest articles	Eight Japan karate team members infected with omicron variant	https://www.japantimes.co.jp/sports/2021/12/31/general/karate-team-omicron-infections/	kazakhstan	2021-12-31 16:31:33
海外ニュース	Japan Times latest articles	Has the Premier League turned into a one-horse race?	https://www.japantimes.co.jp/sports/2021/12/31/soccer/premier-league-one-horse-race/	Has the Premier League turned into a one horse race Manchester City Liverpool and Chelsea were separated by just two points before matches kicked off on Dec Now City is eight points clear of	2021-12-31 16:07:34
ニュース	BBC News - Home	Covid: UK incomparably better placed this New Year - PM	https://www.bbc.co.uk/news/uk-59834667?at_medium=RSS&at_campaign=KARANGA	covid	2021-12-31 07:31:18
ニュース	BBC News - Home	Covid: UK 'better placed' this new year and South Africa says Omicron wave may have peaked	https://www.bbc.co.uk/news/uk-59835545?at_medium=RSS&at_campaign=KARANGA	coronavirus	2021-12-31 07:16:09
ニュース	BBC News - Home	Croydon stabbing: Boy, 15, killed in London park	https://www.bbc.co.uk/news/uk-england-london-59834666?at_medium=RSS&at_campaign=KARANGA	record	2021-12-31 07:18:37
北海道	北海道新聞	ラグビー京産大、帝京大戦へ抱負　「真っ向勝負したい」	https://www.hokkaido-np.co.jp/article/629164/	真っ向勝負	2021-12-31 16:16:00
北海道	北海道新聞	宝くじ、２年ぶり有観客抽せん会　年末ジャンボ、ファン見守る	https://www.hokkaido-np.co.jp/article/629157/	年末ジャンボ宝くじ	2021-12-31 16:01:39
北海道	北海道新聞	Ｚ世代憧れの職業ユーチューバー　バブル期世代は公務員	https://www.hokkaido-np.co.jp/article/629161/	職業	2021-12-31 16:06:00